Transfer Sparse Coding for Robust Image Representation
Sparse coding learns a set of basis functions such that each input signal can be well approximated by a linear combination of just a few of the bases. It has attracted increasing interest due to its state-of-the-art performance in BoW based image representation. However, when labeled and unlabeled i...
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Published in | 2013 IEEE Conference on Computer Vision and Pattern Recognition pp. 407 - 414 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2013
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Subjects | |
Online Access | Get full text |
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